ArticleJournal of cellular physiology2019
Identification of key candidate genes and pathways in multiple myeloma by integrated bioinformatics analysis.
Article in Journal of cellular physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
41 citing papers in PubMed, 54 citations in OpenAlex.
- Integrated bioinformatics and molecular docking identify novel key genes, pathways, and potential candidate drugs in papillary thyroid carcinoma.Journal, genetic engineering & biotechnology · 2026Article
- Article
- Prediction of genomic biomarkers for endometriosis using the transcriptomic dataset.World journal of clinical cases · 2025Article
- Flexible Organic Photovoltaic-Powered Hydrogel Bioelectronic Dressing With Biomimetic Electrical Stimulation for Healing Infected Diabetic Wounds.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- TabDEG: Classifying differentially expressed genes from RNA-seq data based on feature extraction and deep learning framework.PloS one · 2024Article
- Artificial intelligence-based prediction of molecular and genetic markers for hepatitis C-related hepatocellular carcinoma.Annals of medicine and surgery (2012) · 2023Article
- Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma.Cancer research · 2023Article
- EBR and JA regulate aroma substance biosynthesis in 'Ruidu Hongyu' grapevine berries by transcriptome and metabolite combined analysis.Frontiers in plant science · 2023Article
- Bioinformatic identification of hub genesFrontiers in neuroscience · 2023Article
- Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers.Medeniyet medical journal · 2022Article
- Identification of lncRNAs and Their Regulatory Relationships with mRNAs in Response toBioMed research international · 2022Article
- Gene Expression Profiling of Glioblastoma to Recognize Potential Biomarker Candidates.Frontiers in genetics · 2022Article
- Multiple Myeloma: Bioinformatic Analysis for Identification of Key Genes and Pathways.Bioinformatics and biology insights · 2022Article
- The Construction of ITP Diagnostic Modeling Based on the Expressions of Hub Genes Associated with M1 Polarization of Macrophages.Journal of inflammation research · 2022Article
- Identification of potential targets of triptolide in regulating the tumor microenvironment of stomach adenocarcinoma patients using bioinformatics.Bioengineered · 2021Article
- Multi-omics landscape of circadian rhythm pathway alterations in Glioma.Bioengineered · 2021Article
- Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis.Annals of medicine · 2021Article
- Bio-informatics and in Vitro Experiments Reveal the Mechanism of Schisandrin A Against MDA-MB-231 cells.Bioengineered · 2021Article
- Identification of the correlations between interleukin-27 (IL-27) and immune-inflammatory imbalance in preterm birth.Bioengineered · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple myeloma (MM) is a common hematologic malignancy for which the underlying molecular mechanisms remain largely unclear. This study aimed to elucidate key candidate genes and pathways in MM by integrated bioinformatics analysis. Expression profiles GSE6477 and GSE47552 were obtained from the Gene Expression Omnibus database, and differentially expressed genes (DEGs) with p < .05 and [logFC] > 1 were identified. Functional enrichment, protein-protein interaction network construction and survival analyses were then performed. First, 51 upregulated and 78 downregulated DEGs shared between the two GSE datasets were identified. Second, functional enrichment analysis showed that these DEGs are mainly involved in the B cell receptor signaling pathway, hematopoietic cell lineage, and NF-kappa B pathway. Moreover, interrelation analysis of immune system processes showed enrichment of the downregulated DEGs mainly in B cell differentiation, positive regulation of monocyte chemotaxis and positive regulation of T cell proliferation. Finally, the correlation between DEG expression and survival in MM was evaluated using the PrognoScan database. In conclusion, we identified key candidate genes that affect the outcomes of patients with MM, and these genes might serve as potential therapeutic targets.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.